Service
AI readiness assessment: find out where AI could pay off before you build
An AI readiness assessment is a structured review of your processes, systems and data. It shows where AI agents and automation are likely to save time and cost, what to automate first, and what isn't worth automating yet. It's the first step of every engagement, and it ends with a clear recommendation, not a sales pitch.
Vermilion Intelligence is an AI and automation consultancy helping mid-to-large organisations in Australia and New Zealand put AI agents to work on repetitive tasks.
What the assessment covers
You may already suspect AI could help. The harder questions are where, in what order, and whether the data and systems underneath are ready. The assessment answers those questions with evidence from how your business actually runs.
We start with the problem, not the technology. If a task is better fixed with a simpler process change or a tool you already own, we'll say so.
Process review
We map the repetitive work in the teams you choose: who does it, how often, what triggers it and where it slows down.
Systems and integrations
We look at the tools involved, such as your CRM, ERP, finance, email and document systems, and how an agent could connect to them.
Data quality and access
We check whether the data an agent would need is available, consistent and appropriately permissioned.
Risk and privacy
We flag personal and sensitive information, approval points and anything that should stay with a person.
People and adoption
We talk to the people who do the work, because adoption depends on them as much as on the technology.
Opportunity shortlist
We rate each opportunity on value, effort and risk, so the first projects are the ones most likely to pay off.
How it works
How the assessment runs
Step 1: Scope and stakeholders
We agree which teams and processes are in scope and who needs to be involved.
Step 2: Interviews and walkthroughs
We sit with the people doing the work and look at the systems and data behind it.
Step 3: Analysis
We assess each opportunity for value, effort, risk and data readiness.
Step 4: Findings and recommendation
You receive a written report and a prioritised shortlist, which becomes the input to your roadmap.
A quick AI readiness checklist
Before any assessment, these five questions give a fair sense of where you stand.
Is the work repetitive enough?
Tasks that follow a recognisable pattern, even with some judgement involved, are usually the best place to start.
Can an agent reach the data?
An agent needs access to the systems and documents a person would use, through an API, an export or a shared inbox.
Is there a clear owner?
Every automated process needs someone accountable for how it behaves, with the authority to pause it.
Do you know what good looks like?
Agree the measure of success, such as turnaround time or manual hours removed, before anything is built.
Where must a person stay in the loop?
Decide which outputs need human review, such as anything sent to customers or anything that moves money.
FAQ
Frequently asked questions
What is an AI readiness assessment?
It's a structured review of how your organisation works today, covering processes, systems, data, risk and people, to find where AI agents and automation are likely to deliver real value. It identifies the best opportunities, the blockers to fix first, and the tasks that should stay manual, so investment goes where it's most likely to pay off.
What do we get at the end of an AI readiness assessment?
You get a written report with a prioritised shortlist of automation opportunities, each rated for value, effort and risk, plus the data, system and governance gaps to address. It's written in plain English for decision-makers and becomes the starting point for your roadmap, whether or not you build with us.
Who should be involved in an AI readiness assessment?
A senior sponsor who owns the outcome, the managers of the teams in scope, a few of the people who actually do the work, and someone who knows your systems and data, often from IT. If personal information is involved, bring in whoever looks after privacy or risk early on.
How do we decide what to automate first?
Start where the work is frequent, repetitive and well understood, the data is easy to reach, and a mistake would be easy to catch and fix. These first projects build confidence and show value quickly. Leave high-risk, judgement-heavy or rarely performed tasks until you have experience and controls in place.
Related services and solutions
AI strategy and roadmap
A clear, prioritised plan with the effort, costs and expected outcomes for each piece of AI and automation work.
How we work, and how AI automation is costed
Our four steps, and how cost and timeline are scoped.
AI governance
Policies, ownership, risk and privacy assessment, and human oversight that keep AI safe, lawful and accountable.
Administration
Back-office automation for documents, invoices, data entry and shared inboxes, with people checking the exceptions.
Tell us about the repetitive work you'd like to hand over
Send us a short description of the tasks, the team and the systems involved. We'll reply with an honest view of whether AI agents are a good fit, and what an assessment would look at.
Or email raj@vermiliong.com.au